Vocabulary harmonisation for biometrics: the development of ISO/IEC 2382 Part 37
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study discusses a 10‐year effort by Standards Committee 37 of the International Organisation for Standardisation/International Electrotechnical Commission Joint Technical Committee 1 (ISO/IEC JTC1 SC37) to create a systematic vocabulary for the field of ‘biometrics’ based on international standards for vocabulary development. That process has now produced a new International Standard (ISO/IEC 2382‐37:2012), which conceptualises and defines 121 terms that are most central to the proposed field. This study will review some of the philosophical and operational principles of vocabulary development within SC37, present 11 of the most commonly used standardised terms with their definitions and discuss some of the conceptual changes implicit in the new vocabulary.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it